no code implementations • 8 Jan 2024 • Haozhe Li, Minghua Ma, Yudong Liu, Pu Zhao, Lingling Zheng, Ze Li, Yingnong Dang, Murali Chintalapati, Saravan Rajmohan, QIngwei Lin, Dongmei Zhang
Using two real-world datasets of disk failure prediction and conducting node prediction experiments in Microsoft Azure, which is a top-tier cloud provider that serves millions of users, we demonstrate Uptake can significantly improve the failure prediction accuracy by 5% on average.
no code implementations • 25 May 2023 • Yuxin Huang, Hao Wang, Zhaoran Liu, Licheng Pan, Haozhe Li, Xinggao Liu
Accurate estimation of multiple quality variables is critical for building industrial soft sensor models, which have long been confronted with data efficiency and negative transfer issues.
no code implementations • 21 Feb 2023 • Hao Wang, Zhiyu Wang, Yunlong Niu, Zhaoran Liu, Haozhe Li, Yilin Liao, Yuxin Huang, Xinggao Liu
An accurate and explainable automatic monitoring system is critical for the safety of high efficiency energy conversion plants that operate under extreme working condition.
no code implementations • 18 Aug 2021 • Yilin Liao, Hao Wang, Zhaoran Liu, Haozhe Li, Xinggao Liu
The effectiveness of shortcut/skip-connection has been widely verified, which inspires massive explorations on neural architecture design.